3DPW-OCC and 3DOH.
To emphasize the robustness on partial-body images, we further evaluate on two occlusion datasets: 3DPW-OCC [1]}, [2]} and 3DOH [2]}.
As shown in Table REF , VisDB produces lower errors on both datasets compared to prior occlusion-aware methods.
While I2L-MeshNet\(^\dagger \)  performs considerably worse on these images, the errors by our model remain relatively low.
